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Proceedings Paper

Research on image separation and reconstruction method of single channel double spectrum low light level system
Author(s): Chuang Zhang; Lian-fa Bai; Yi Zhang
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Paper Abstract

On the base of analyzing the dual-channel systems, a single-channel dual-band false color night imaging principium based on inter-frame compensation is proposed to realize originally dual-channel dual-band on single-channel system with a raster filter setting forward. Single channel double spectrum low light level system can receive stripe image included two spectrum information of low light level in single channel by stripe filter slice. On the aspect of the dual-band low light level images separation and compensation, the technique of spectrum separation and compensation reconstruction were researched, the stripe low light level images were obtained from the scenery actual imaging with the 'long' wave information and the 'short' wave information in turn. The sample block compensation method based on the correlation of the gray space and the inter-frame compensation methods were designed to compensate the split dual-band images. The simulation experimental study of the dual-band low light level image separation and the compensation technique were done, the results indicate that the above methods in the single channel dual-spectrum color low light level system have applied effectively, and have achieved the goal of the dual-band low light level image separation and the compensation.

Paper Details

Date Published: 6 August 2009
PDF: 7 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73840Y (6 August 2009); doi: 10.1117/12.835072
Show Author Affiliations
Chuang Zhang, Nanjing Univ. of Information Science & Technology (China)
Lian-fa Bai, Nanjing Univ. of Information Science & Technology (China)
Yi Zhang, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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